MarkovAutomaton.h

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#ifndef STORM_MODELS_SPARSE_MARKOVAUTOMATON_H_
#define STORM_MODELS_SPARSE_MARKOVAUTOMATON_H_
 
#include "storm/models/sparse/Ctmc.h"
#include "storm/models/sparse/NondeterministicModel.h"
#include "storm/utility/OsDetection.h"
 
namespace storm {
namespace models {
namespace sparse {
 
template<class ValueType, typename RewardModelType = StandardRewardModel<ValueType>>
class MarkovAutomaton : public NondeterministicModel<ValueType, RewardModelType> {
   public:
    MarkovAutomaton(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::models::sparse::StateLabeling const& stateLabeling,
                    storm::storage::BitVector const& markovianStates,
                    std::unordered_map<std::string, RewardModelType> const& rewardModels = std::unordered_map<std::string, RewardModelType>());
 
    MarkovAutomaton(storm::storage::SparseMatrix<ValueType>&& transitionMatrix, storm::models::sparse::StateLabeling&& stateLabeling,
                    storm::storage::BitVector&& markovianStates,
                    std::unordered_map<std::string, RewardModelType>&& rewardModels = std::unordered_map<std::string, RewardModelType>());
 
    MarkovAutomaton(storm::storage::sparse::ModelComponents<ValueType, RewardModelType> const& components);
    MarkovAutomaton(storm::storage::sparse::ModelComponents<ValueType, RewardModelType>&& components);
 
    MarkovAutomaton(MarkovAutomaton<ValueType, RewardModelType> const& other) = default;
    MarkovAutomaton& operator=(MarkovAutomaton<ValueType, RewardModelType> const& other) = default;
 
    MarkovAutomaton(MarkovAutomaton<ValueType, RewardModelType>&& other) = default;
    MarkovAutomaton& operator=(MarkovAutomaton<ValueType, RewardModelType>&& other) = default;
 
    bool isClosed() const;
 
    bool containsZenoCycle() const;
 
    bool isHybridState(storm::storage::sparse::state_type state) const;
 
    bool isMarkovianState(storm::storage::sparse::state_type state) const;
 
    bool isProbabilisticState(storm::storage::sparse::state_type state) const;
 
    std::vector<ValueType> const& getExitRates() const;
 
    std::vector<ValueType>& getExitRates();
 
    ValueType const& getExitRate(storm::storage::sparse::state_type state) const;
 
    ValueType getMaximalExitRate() const;
 
    storm::storage::BitVector const& getMarkovianStates() const;
 
    void close();
 
    bool isConvertibleToCtmc() const;
 
    bool hasOnlyTrivialNondeterminism() const;
 
    std::shared_ptr<storm::models::sparse::Ctmc<ValueType, RewardModelType>> convertToCtmc() const;
 
    virtual void printModelInformationToStream(std::ostream& out) const override;
 
   private:
    void turnRatesToProbabilities();
 
    bool checkIsClosed() const;
 
    bool checkContainsZenoCycle() const;
 
    // A bit vector representing the set of Markovian states.
    storm::storage::BitVector markovianStates;
 
    // A vector storing the exit rates of all states of the model.
    std::vector<ValueType> exitRates;
 
    // A flag indicating whether the Markov automaton has been closed, which is typically a prerequisite for model checking.
    bool closed;
 
    // A flag indicating whether the Markov automaton contains Zeno cycles.
    mutable boost::optional<bool> hasZenoCycle;
};
 
}  // namespace sparse
}  // namespace models
}  // namespace storm
 
#endif /* STORM_MODELS_SPARSE_MARKOVAUTOMATON_H_ */